How different data supports affect geostatistical modelling: the new aggregation method and comparison with the classical regularisation and the theoretical punctual model-Reference-Cited by-同舟云学术

How different data supports affect geostatistical modelling: the new aggregation method and comparison with the classical regularisation and the theoretical punctual model

Published:2018-09-06 Issue:1 Volume:34 Page:34-54
ISSN:1748-0930
Container-title:International Journal of Mining, Reclamation and Environment
language:en
Short-container-title:International Journal of Mining, Reclamation and Environment

Author:

Kasmaeeyazdi Sara¹,Raspa Giuseppe²,De Fouquet Chantal³,Tinti Francesco¹^ORCID,Bonduà Stefano¹,Bruno Roberto¹

Affiliation:

1. Department of Civil, Chemical, Environmental and Material Engineering, University of Bologna, Bologna, Italy

2. Department of Chemical, Material and Environmental Engineering, University of Rome “la Sapienza”, Rome, Italy

3. Centre de Géosciences, Mines ParisTech, Fontainebleau, France

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Earth-Surface Processes,Geology,Geotechnical Engineering and Engineering Geology

Link

https://www.tandfonline.com/doi/pdf/10.1080/17480930.2018.1507609

Reference26 articles.

1. High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging

2. A robust Kriging model for predicting accumulative outflow from a mature reservoir considering a new horizontal well

3. Geostatistics

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